Research on control system of wood drying based on BP Neural Network

Abstract

Wood drying technology is the main technology to improve the quality of wood, reduce material losses, and increase utilization of wood, which can protect the wood from downgradeing. The key of the technology is how to adjust temperature and relative humidity in the drying room, so that the moisture content of the wood decline to a certain range. In the article, the method of combining of establishment of BP Neural Network and PID control technology are taken to control the drying system effectively. Modeling and simuling software are used to build model and simulate for the control system. Finally, we got a good result based on this method.